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and work with. Beyond the lab, ETH Zürich has several internationally recognized research groups dedicated to interactive systems, Human-Computer Interaction, AR/VR, and machine learning. In our
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. Accordingly, the position at ETH Zürich is embedded within the Centre for Digital Health Interventions and is co-supervised by Prof. Elgar Fleisch (ETH Zürich) and Prof. Felix Wortmann (University of St
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associated to a project on phase-field modeling of fracture. The PhD project aims at developing cutting edge models for the fracture behavior of quasi-brittle materials, relevant for a real application of
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, computational science groups/network/community, and data platforms. PhD programs: Department of Biosystems Science and Engineering, ETH Zürich Questions can be directed to: ihbglobal@roche.com Please submit your
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understanding and practical experience with machine learning approaches for biomarker discovery and predictive modeling, specifically with hands-on experience in developing and applying neuronal networks
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Mixed Reality. This research combines physiological time series analysis (such as or similar to EEG, EMG, EOG), machine learning, and real-time system design for intelligent interaction systems
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the position should be directed to Professor Martin Fussenegger at martin.fussenegger@bsse.ethz.ch by mail (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising
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ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct
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100%, Zurich, fixed-term The research group of Prof. Müller, Laboratory of Energy Science and Engineering at ETH Zürich is looking for a highly motivated candidate with a strong expertise and
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) at ETH Zürich within the Centre for Digital Health Interventions . You will lead the Revelio initiative and co-supervise two PhD students in close collaboration with Prof. Elgar Fleisch (ETH Zürich) and